# Caidin: An Open-Source Recommendation Engine Library
Caidin is a Python library that provides a collection of recommendation algorithms and utilities for building recommendation systems. It aims to simplify the process of creating and experimenting with recommendation engines in various domains.
## Features
- Implementation of collaborative filtering, matrix factorization, and content-based recommendation algorithms.
- Utility functions for data loading, preprocessing, and evaluation.
- Clear and customizable model structures for users and recommenders.
- Well-documented codebase with usage examples.
## Installation
You can install Caidin using pip:
> pip install caidin
For detailed installation instructions and requirements, please refer to the [Installation Guide](docs/installation.md).
## Documentation
For detailed usage instructions, API references, and example code, please refer to the [Documentation](docs/user_guide.md).
## Getting Started
Check out the [Examples](examples/) directory for step-by-step examples demonstrating how to use Caidin for building recommendation systems.
## Contributing
We welcome contributions from the community! Please refer to the [Contributing Guidelines](CONTRIBUTING.md) for information on how to get started, code style, and the contribution process.
## Code of Conduct
Please review our [Code of Conduct](CODE_OF_CONDUCT.md) that outlines the behavior we expect from all contributors and users of the project.
## License
This project is licensed under the [MIT License](LICENSE).
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